Evaluation plotting
Plot of an evaluation
object.
plotEv(evaluation, labels, cols)
evaluation
: object of type evaluation
.labels
: labels used in the plot. Can be NULL
.cols
: colors of the lines representing the desirability scores in the plot. Can be NULL
.A plot of an evaluation
object
# compare Random Allocation Rule to Big Stick Design with respect to different issues # and their corresponding desirability functions issue1 <- corGuess("CS") issue2 <- chronBias(type = "linT", theta = 1/4, method = "exact") RAR <- getAllSeq(rarPar(4)) BSD <- getAllSeq(bsdPar(4, mti = 2)) A1 <- assess(RAR, issue1, issue2, endp = normEndp(c(0,0), c(1,1))) A2 <- assess(BSD, issue1, issue2, endp = normEndp(c(0,0), c(1,1))) d1 <- derFunc(TV = 0.5, 0.75, 2) d2 <- derFunc(0.05, c(0, 0.1), c(1, 1)) DesScore <- getDesScores(A1, d1, d2, weights = c(5/6, 1/6)) DesScore2 <- getDesScores(A2, d1, d2, weights = c(5/6, 1/6)) E <- evaluate(DesScore, DesScore2) plotEv(E)
Other desirability topics: derFunc
, evaluate()
, getDesScores()
, plotDes()
, probUnDes()
Useful links